Are CSMs making AI harder than it needs to be? Yes, and it's costing us time, revenue, and customer relationships.In this episode, I sit down with Lukas Alexander, VP of Customer Success, to break down exactly where CS teams go wrong with AI and the step-by-step approach that actually works.Lukas has spent over a decade building and scaling global CS teams, driving NRR growth, and coaching CSMs to grow their impact. His customers? Other customer success managers. So when he talks about AI in CS, he speaks from both sides of the table.What you'll learn in this episode:- The #1 AI mistake CSMs and CS leaders make (and why it backfires)- Why you should automate ONE admin task before touching anything else- How signal-based AI agents protect revenue and surface expansion opportunities- Why you don't need clean data to get started with AI in customer success- What no AI tool will ever replace in the CSM role Episode Highlights:00:00 – Welcome & intro02:15 – Lukas's journey from PR to VP of CS11:30 – Why operations exposure sharpens business acumen15:40 – The biggest AI mistake in customer success20:25 – How to start with AI: one task at a time23:12 – AI fluency, revenue mindset & business acumen32:00 – Using AI agents for churn signals and expansion revenue38:20 – Do you need perfect data to start? (Spoiler: No)41:45 – What to do when you have zero AI tools43:43 – Why the human side of CS still wins About Lukas AlexanderLukas is the VP of Customer Success at ChurnZero, one of the leading AI-powered customer success platforms in the industry. He has spent over a decade building global CS teams, leading RevOps functions, and helping organizations drive net revenue retention through outcome-focused customer success. Connect with Lukas: https://www.linkedin.com/in/lukas-alexander-3b827280/Follow Bayron Toruno on LinkedIn → https://www.linkedin.com/in/bayron-toru%C3%B1o-solano-3a9408113/Follow us on:Instagram - https://www.instagram.com/cstalkspodcast/Tik-Tok @customer.success6Explore Our PodcastWebsite - https://cstalkspodcast.com/🔔 Subscribe so you never miss an episode👍 Like this video if you found it helpful💬 Drop your biggest AI question in the comments, we read every one

Are your feature requests and customer feedback piling up in the backlog, with no movement, no ETA, and frustrated customers asking you for answers you don't have?

You're not alone. One of the most common pain points for Customer Success Managers is the disconnect between CS and the product team. But the good news? It's fixable, and it starts with how you communicate, not just what you communicate.

In this episode, Margo Barysheva, the first CS hire at a cybersecurity startup in Israel, discusses how she has been building the customer success function from the ground up. Margo brings hard-earned, practical experience from working across multiple high-growth startups, and she's developed a real system for turning messy customer feedback into product action.

Here's what you'll learn in this episode:

✅ Why most CSMs submit feedback the wrong way, and what to do instead (hint: it's not "the button should be black")✅ How to translate customer requests into business value so product teams actually listen✅ How to set backlog timeframes in Jira so tickets don't disappear forever — and you can finally close the loop with customers✅ The beta/preview program strategy that turns customers into product advocates✅ The squad model for larger CS teams to stay aligned with product without losing context✅ The #1 mindset shift: stop acting as a customer advocate only learn to be a true peer to your product team

Connect with Margo on LinkedIn → https://www.linkedin.com/in/margobarysheva/

Margo's Instagram → https://www.instagram.com/magbelyaeva/

Follow Bayron Toruno on LinkedIn → https://www.linkedin.com/in/bayron-toru%C3%B1o-solano-3a9408113/

Follow us on:Instagram - https://www.instagram.com/cstalkspodcast/Tik-Tok @customer.success6Explore Our PodcastWebsite - https://cstalkspodcast.com/

How should Customer Success Managers actually use data?

In this episode, Denny Burda, Chief Customer Officer at River Consultancy Group, to break down a simple framework for turning customer data into insights, conversations, and actions that drive retention and expansion.

Many Customer Success Managers have access to dashboards, metrics, and usage reports but struggle with what to do with the data. Instead of getting lost in spreadsheets or overwhelming QBR slides, Denny explains how CSMs can move from raw data to meaningful customer conversations using a practical appoach:Signals → Insights → Conversation → ActionTogether, we explore the three key phases of working with data in Customer Success:

1. Data AnalysisLearn how to identify meaningful signals in customer data and avoid the classic “garbage in, garbage out” problem.

2. Turning Data Into InsightsData alone doesn’t create impact. Denny explains how to interpret signals to uncover early warnings for churn, identify expansion opportunities, and prioritize the right customers.

3. Data Presentation & StorytellingMany CSMs rely too heavily on dashboards or QBR slides.This framework helps Customer Success Managers turn numbers into strategic conversations that build trust with customers and executives. Listen now to learn how to transform customer data into clear insights, stronger conversations, and better outcomes.